Izlence

Course Code & Number:

MATH 240

Course Title:

Introduction to Probability and Statistics for Engineers

Level:

BS

Credit Hours/ ECTS Credits:

(3+0+0) 3 TEDU Credits, 6 ECTS Credits

Academic Year

2023

Semester

Spring

Catalog Description:

Basic concepts of probability, Discrete and continuous random variables, their probability distributions, expected value, variance. Discrete probability distributions, Jointly distributed and independent Random Variables. Covariance and correlation. Sampling, estimation. Hypothesis Testing and Regression.

Pre-requisite / Co-requisite

Instructor:

Rıza Secer Orkun Keskin

Sap Event ID:

50216801

Learning Outcomes:

1) Compute probabilities by modeling sample spaces and applying rules of permutations and combinations, independency and conditional probability
2) Construct the probability distribution of a discrete random variable, based on a real-world situation
3) Identify the random variable(s) of interest in a given scenario
4) Find expected values and variances of both discrete and continuous random variables
5) Demonstrate knowledge of joint probability distributions
6) Find estimators for unknown parameters of distribution using mathematical methods; such as the Method of Moments and the Method of Maximum Likelihood
7) Demonstrate ability to do interval estimation for parameters of distribution/population
8) Demonstrate ability to interpret regression and ANOVA results

Learning Activities and Teaching Methods:

Assessment Methods and Criteria: